Compared
Murmell compared, tool by tool
Every tool here can run more than one coding agent. The difference is what happens to the second one. Almost all of them give it a copy of your files, and the copies meet again at review. Murmell puts them in one directory and settles the conflict before the write: an agent claims the paths it is about to touch, and the server refuses everybody else until it lets go.
Where a second agent works
| Tool | Where its second agent works |
|---|---|
| Cursor | An isolated VM, on a branch cloned from your repository |
| Devin | A full Devin in its own virtual machine, with its own terminal and browser |
| Jules | A clone of your repository on a cloud VM |
| Copilot and Agent HQ | One branch at a time, in an ephemeral environment powered by GitHub Actions |
| Codex cloud | A dedicated cloud environment per task |
| Replit Agent | A Replit project it builds and hosts |
| Windsurf | Its own git worktree under ~/.windsurf/worktrees, up to twenty per workspace |
| Conductor | Its own workspace on your Mac, with its own branch, files and terminal |
| OpenHands Agent Canvas | Its own git worktree, a second copy of your files on a branch of its own |
| Vibe Kanban | A workspace per task, on your own machine |
| Codeg | On your own machine, in the sessions you already run there |
| Gemini Code Assist | Your editor, in an agent mode session, on a plan you approve first |
| Murmell | One shared directory, after it claims the paths it is about to touch |
A cloud machine of its own, per task
The agent gets a clone of your repository, works on a branch and hands back a pull request. Nothing is shared until review.
- Murmell vs Cursor. One editor per person and one VM per agent, against one canvas and one directory for everybody.
- Murmell vs Devin. Parallel by separation against parallel by sharing, and when each shape is the right one.
- Murmell vs Google Jules. A plan you approve and a pull request you review, against terminals you watch in one shared tree.
- Murmell vs GitHub Copilot and Agent HQ. Where agent work converges: at the pull request, or in the working tree.
- Murmell vs Codex cloud. Why running the Codex CLI on a shared canvas is a different thing from delegating a task to it.
- Murmell vs Replit Agent. Building an app from nothing against running several agents on a codebase that already exists.
Your own machine, one workspace per task
The code never leaves your disk. Parallel agents are kept apart by a worktree or a workspace each, and you merge them yourself.
- Murmell vs Windsurf. A worktree per conversation on your own machine, against one shared directory in the cloud.
- Murmell vs Conductor. A Mac app with a workspace per task, against a cloud canvas with one directory for all of them.
- Murmell vs OpenHands Agent Canvas. The closest comparison on the list: a worktree per agent against one tree with file reservations.
- Murmell vs Vibe Kanban. A kanban board over local agent runs, against a shared canvas over one cloud directory.
- Murmell vs Codeg. Aggregating local agent sessions against running the agents on one shared cloud directory.
One agent at a time, in your editor
No documented parallelism: one supervised agent, in the tool where you already write.
- Murmell vs Gemini Code Assist. One supervised agent in your editor, against several unsupervised ones in a directory you watch.
What the comparison is not
None of these pages says the other tool is worse. A worktree per agent is the right answer when the work is a queue of separate tasks and the code has to stay on hardware you control, and two of the pages say so in as many words. Murmell is the answer when several agents should be in the same directory at the same time and other people need to watch it happen. What Murmell is covers that side.